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Browsing Engineering (Faculty of) by Subject "machine learning"
Now showing items 1-20 of 71
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Adaptive Streaming: From Bitrate Maximization to Rate-Distortion Optimization
(University of Waterloo, 2021-09-30)The fundamental conflict between the increasing consumer demand for better Quality-of-Experience (QoE) and the limited supply of network resources has become significant challenges to modern video delivery systems. Stat ... -
An Analysis Framework for the Quantization-Aware Design of Efficient, Low-Power Convolutional Neural Networks
(University of Waterloo, 2022-04-29)Deep convolutional neural network (CNN) algorithms have emerged as a powerful tool for many computer vision tasks such as image classification, object detection, and semantic segmentation. However, these algorithms are ... -
An artificial intelligence framework for vehicle crashworthiness design
(University of Waterloo, 2021-11-24)Numerical crash test simulations are crucial for vehicle safety design. In the automotive industry, frameworks based on finite element methods are most common as they are precise and reliable. A few of the setbacks are ... -
Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning
(University of Waterloo, 2019-12-05)Harmful algae blooms (HABs) can produce lethal toxins and are a rising global concern. In response to this threat, many organizations are monitoring algae populations to determine if a water body might be contaminated. ... -
Biologically Inspired Spatial Representation
(University of Waterloo, 2020-10-08)In this thesis I explore a biologically inspired method of encoding continuous space within a population of neurons. This method provides an extension to the Semantic Pointer Architecture (SPA) to encompass Semantic Pointers ... -
Breast Cancer Detection Using Microwaves and Microwave-Thermography Techniques
(University of Waterloo, 2021-11-16)The accelerated growth in Microwave Imaging (MWI) and Microwave Detection (MWD) is driven by microwave ability to penetrate materials that are considered opaque at a shorter wavelength. This elevates MWI potential to ... -
CDCL(Crypto) and Machine Learning based SAT Solvers for Cryptanalysis
(University of Waterloo, 2020-05-15)Over the last two decades, we have seen a dramatic improvement in the efficiency of conflict-driven clause-learning Boolean satisfiability (CDCL SAT) solvers over industrial problems from a variety of applications such as ... -
Data Driven Modelling and Optimization of MEA Absorption Process for CO2 Capture
(University of Waterloo, 2020-05-27)Global warming is a rising issue and there are many research studies aiming to reduce greenhouse gas emissions. Carbon capture and storage technologies improved throughout the years to contribute as a solution to this ... -
Data Reduction Algorithms in Machine Learning and Data Science
(University of Waterloo, 2021-02-19)Raw data are usually required to be pre-processed for better representation or discrimination of classes. This pre-processing can be done by data reduction, i.e., either reduction in dimensionality or numerosity (cardinality). ... -
A Data-Driven Approach for Generating Vortex Shedding Regime Maps for an Oscillating Cylinder
(University of Waterloo, 2022-01-20)Recent developments in wind energy extraction methods from vortex-induced vibration (VIV) have fueled the research into vortex shedding behaviour. The vortex shedding map is vital for the consistent use of normalized ... -
Data-driven Optimization: Applications to Energy Infrastructure and Process Industry
(University of Waterloo, 2021-12-20)Nowadays, the existence and ease of access to massive amounts of data encourage proposing data-driven solutions. As optimization has always been based on the interchange between models and data, high-level optimization ... -
Decentralized Data Acquisition Pipeline with Machine Learning For Side-Channel Information
(University of Waterloo, 2021-09-17)Technological advancements and the COVID-19 pandemic caused an increase in the adoption of technologies, services, and computers. Public cloud services surged with a 17\% increase, and adoption of software services such ... -
Deep deterministic policy gradient: applications in process control and integrated process design and control
(University of Waterloo, 2022-06-20)In recent years, the urgent need to develop sustainable processes to fight the negative effects of climate change has gained global attention and has led to the transition into renewable energies. As renewable sources ... -
Deep Learning Based Approaches for Imputation of Time Series Models
(University of Waterloo, 2020-12-16)Market price forecasting models for Fresh Produce (FP) are crucial to protect retailers and consumers from highly priced FP. However, utilizing the data for forecasting is obstructed by the occurrence of missing values. ... -
Deep Reinforcement Learning Models for Real-Time Traffic Signal Optimization with Big Traffic Data
(University of Waterloo, 2021-05-19)One of the most significant changes that the globe has faced in recent years is the changes brought about by the COVID19 pandemic. While this research was started before the pandemic began, the pandemic has exposed the ... -
Detection and Prediction of Freezing of Gait in Parkinson’s Disease using Wearable Sensors and Machine Learning
(University of Waterloo, 2021-10-12)Freezing of gait (FOG), is a brief episodic absence of forward body progression despite the intention to walk. Appearing mostly in mid-late stage Parkinson’s disease (PD), freezing manifests as a sudden loss of lower-limb ... -
Development of a machine learning-based model to autonomously estimate web page credibility
(University of Waterloo, 2020-09-02)There is a broad range of information available on the Internet, some of which is considered to be more credible than others. People consider different credibility aspects while evaluating the credibility of a web page, ... -
Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection
(University of Waterloo, 2019-08-19)Pavement Management System (PMS) analytical tools mainly consist of pavement condition investigation and evaluation tools, pavement condition rating and assessment tools, pavement performance prediction tools, treatment ... -
Driving Manoeuvre Recognition using Mobile Sensors
(University of Waterloo, 2016-08-31)Automobiles are integral in today's society as they are used for transportation, commerce, and public services. The ubiquity of automotive transportation creates a demand for active safety technologies for the consumer. ... -
Efficient Multi-Objective Optimization of an Automotive Crush Rail Under Axial and Oblique Impact
(University of Waterloo, 2021-04-30)Oblique impact conditions are of increasing research importance, and this kind of study is becoming more common in the crashworthiness literature. Optimization strategies, such as the Response Surface Methodology (RSM), ...